Senior Data Scientist to drive causal and machine learning-based analyses to measure the impact of product features on user behavior, engagement, and business outcomes, and translate results into clear, actionable recommendations.
Requirements
- Causal Inference
- KPI Development
- Data Visualization
- Statistical judgment
- Product-driven ML
- Experience with experimental and observational methods
- Regression- and ML-based approaches
- Experimental and observational methods
- Regression- and ML-based approaches
- Robustness checks
- Sensitivity analyses
- Clear articulation of assumptions and limitations
- Partnering with product and cross-functional stakeholders
- Defining feature-level engagement and efficacy KPIs
- Implementing testing, documentation, and versioning practices
- Maintaining metric documentation and metadata
- Designing and delivering high-quality visualizations
- Ensuring visual outputs are intuitive, decision-oriented, and aligned with established data visualization best practices
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance